Quantitative Scientist (Staff / Sr Staff) - Power Markets
Core
Staff/Sr Staff Quantitative Scientist driving trading strategy research and development in the energy space to accelerate quantitative trading and platform-as-a-service businesses.
Role type
Staff/Sr Staff Quantitative Scientist (Power Markets)
Builds
Novel quantitative trading signals, strategies, and production deployment of quantitative trading solutions for energy asset management.
Domain
US Power Markets / Energy Trading
Deliverable
production ML models
Required skills
quantitative research and analytics, systematic financial trading, Python (numpy, scipy, pandas, scikit-learn, tensorflow), electricity and energy domain knowledge, developing and tracking performance of quantitative trading strategies in production
Preferred skills
designing and building novel statistical models on time series data, database technologies and SQL, probability and hypothesis testing, optimization techniques, data visualization and dashboarding, leading and mentoring analysts
Technologies
Python, numpy, scipy, pandas, scikit-learn, tensorflow, SQL, plot.ly Dash, Streamlit
Responsibilities
Influence product and engineering roadmaps through presentation of research insights and trading strategy backtest metrics; investigate driving factors in trading over/under performance to drive continuous strategy improvement; identify and extract sources of trading alpha by researching energy datasets and executing hands-on experimental models and backtests; lead short to medium term research projects advancing state-of-the-art quantitative research techniques applied to energy asset management
Seniority
Senior, hands-on IC with mentorship responsibilities